Hello there!
My name is Daniel Joy, I'm a first-year Master's student at University of Tennessee Knoxville interested in cybersecurity, machine learning, and renewable energy.
- Tic-Tac-Toe Q-learning Agent - Q-learning reinforcement agent that self-plays and learns how to play Tic-Tac-Toe
- Topics: Q-table, Reinforcement Learning, Self-Play, Machine Learning
- Roblox Cashier Bot - Bot using simulated mouse clicks and Convolution Neural networks to act as a cashier in a Roblox game
- Topics: Convolutional Neural Networks, Machine Learning, Python Libraries: PyAutoGui, DirectInput, Keras, Tensorflow
- Grocery Store Website Scraper - A program to automatically search Walmart & Kroger websites for given items, store prices, sort by lowest price/ounce, and export to CSV for analysis.
- Topics: PyAutoGUI, BeautifulSoup, HTML Parsing, Pandas
- Q-learning Sushi-Go Agent - A reinforcement self-learning bot that learned to play the card game Sushi-Go optimally. Reached 70% win rate against simple opponents. I can thankfully usually still beat it in a 1v1
- Topics: Q-Learning, Python, Reinforcement Learning
- Kaggle - Here is my notebooks and results for some competitions over on Kaggle.
- Kattis - My kattis profile. I've solved ~260 problems and am ranked 2nd in Tennessee.
Contact Information:
- Email: danieljoy2345@gmail.com
- LinkedIn: linkedin.com/in/daniel-joy6
- Personal Website: sites.google.com/view/daniel-joy